[Classification of Chinese traditional medicine, moutan (Paeonia suffruticosa Andr.) cortex by means of pyrolysis-high resolution gas chromatography/pattern recognition].
Thirty-eight samples of Moutan (Paeonia suffruticosa Andr.) Cortex obtained from three different regions (Southwest, East and Middle China) and two samples of unknown region were subjected to analysis with pyrolysis-high resolution gas chromatography (Py-HRGC). Each sample was thus characterized by the peak area of 41 peaks in each Py-HRGC profile. Discriminant analysis (DA), PRIMA and SIMCA pattern recognition were used to recognize the 40 x 41 data matrix. These data analysis gave satisfactory results (DA, 100% correct; PRIMA, 100% correct, 92.2% unique; SIMCA, 92.2% correct, 79% unique). The correct classification of Moutan Cortex for the unknown territory was obtained by three pattern recognition methods. The results showed that Py-HRGC/pattern recognition technique might be a potential tool for the identification of Chinese traditional medicine.
Fang
X C
XC
Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing.
Xiang
B R
BR
An
D K
DK
D002849:Chromatography, Gas / Q000379:methods; D004365:Drugs, Chinese Herbal / Q000145:classification*; D010363:Pattern Recognition, Automated
D004365:Drugs, Chinese Herbal